Dr. Wei Dai is the Director of Advanced Intelligence Software Lab at Purdue University Northwest, focusing on public safety projects, especially gunshot sound detection.

Selected Publications ( Google Scholar , ResearchGate )

Refereed Journal Papers

• Jiagang Liu, Ju Ren, Wei Dai, Deye Zhang, Pude Zhou, Yaoxue Zhang, Geyong Min, Noushin Najjari. "Online Multi-Workflow Scheduling under Uncertain Task Execution Time in IaaS Clouds." IEEE Transactions on Cloud Computing, 2019. # A Top Journal in the Computer Science.

Refereed Conference Papers

• Dai, Wei wrote a paper named ASI: Accuracy-Stability Index for Evaluating Deep Learning Models that will be published on the IEEE International Conference on Big Data, December 2023.
• Dai, Wei co-authored a paper named HCoop: A Cooperative and Hybrid Resource Scheduling for Heterogeneous Jobs in Clouds was just accepted by the 14th IEEE International Conference on Cloud Computing Technology and Science, October 2023.
• Dai, Wei, Daniel Berleant. Discovering Limitations of Image Quality Assessments with Noised Deep Learning Image Sets," 2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan, 2022, pp. 3735-3744, doi: 10.1109/BigData55660.2022.10020507
• Dai, Wei, Daniel Berleant. "Benchmarking robustness of deep learning classifiers using two-factor perturbation" 2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA, 2021, pp. 5085-5094, doi: 10.1109/BigData52589.2021.9671976.
• Dai, Wei, Kenji Yoshigoe, and William Parsley. "Improving Data Quality Through Deep Learning and Statistical Models." In Information Technology-New Generations, pp. 515-522. Springer, Cham, 2018.
• Dai, Wei, and Ningning Wu. "Profiling Essential Professional Skills of Chief Data Officers Through Topic Modeling Algorithms." in Americas Conference on Information Systems ,2017. # A Top Conference in Information Management Field.
• Yoshigoe Kenji and Wei Dai, Melissa Abramson, and Alexander Jacobs. "Overcoming invasion of privacy in smart home environment with synthetic packet injection." In 2015 TRON Symposium (TRONSHOW), pp. 1-7. IEEE, 2015.

Books

• Tao Wen, Wei Dai,etc Understanding DB2 DBA , In Neusoft Electronic Press, China, May 2009.
• Tao Wen, Wei Dai,etc Advanced DB2 DBA , In Neusoft Electronic Press, China, August 2009.

Media Reports

• Las Vegas transit system nation’s first to plan full deployment of AI surveillance for weapons. , CNBC, July 29, 2024
• SULB Closings for Indoor Gunshot Detection System Testing. , Purdue University Northwest, July 26, 2024
• PNW Computer Science research team tests AI-powered gunshot detection technology. ,Purdue Northwest, January 19, 2024
• Evaluation of the Gunshot Detection System at the Schneider Avenue building. , Purdue University Northwest, October 10, 2023
• Evaluation of the Purdue Gunshot Detection System at the Nils Nelson building. , Purdue University, Hammond Campus, July 22, 2023
• PNW hosts its first International Collegiate Programming Contest , Purdue University Northwest, MARCH 13, 2023
• UA LITTLE ROCK RESEARCHERS STUDYING DEVELOPMENT OF BENCHMARKS TO TEST MACHINE LEARNING , University of Arkansas at Little Rock, October 22, 2018
• PhD research in data science at WPI will lead to life-saving public security improvements , Worcester Polytechnic Institute, April 26, 2018

Selected Professional Activities (full list)

Professional Organizations:

• IEEE Public Safety Technology a committee member, USA, 2023 - Present
• Machine learning Benchmarks Group, a committee member, USA, 2018 - present
• Affiliate Graduate Faculty Member (Thesis/Dissertation Committee Member), University of Arkansas at Little Rock, July 2022 - Present
• ICPC Site Director and Coach, the ICPC Regional Mid-Center USA contest, 2022- Present

Reviewer role in Journals

• ACM Performance Evaluation Review, USA
• IEEE Access, USA
• Journal of Information Policy, USA.
• The International Journal of Electronics & Communication Technology (IJECT), Indonesia
• Telecommunication Computing Electronics and Control, Indonesia

Reviewer Role in Technical Program committees:

• Computing Conference 2019 and Intelligent Systems Conference (IntelliSys) in 2018
• 2016 World Symposium on Computer Applications & Research in 2016
• IEEE The Symposium on Emerging Topics in Computing and Communications in 2015

Selected Honors and Awards

• Excellence in Research Award in Information Science at UA Little Rock,2017, USA
• Industrial Awards in EIT Open House at UA Little Rock, 2017, USA
• The first place and the third place Research Awards at UALR Student Research and Creative Works EXPO,2017, USA
• Honorable Mention Award at UALR Student Research and Creative Works EXPO,2016, USA
• Best IBM Customer Service Award in 2014;,IBM China
• IBM Excellent Instructor Prize in 2011 and 2012, respectively ,IBM China
• IBM Outstanding Employee in 2009 and 2012, respectively, IBM China
• IBM South China Technical Talent Award in 2009, 2011, and 2012, respectively, IBM China

Selected Awarded Grants

• [Role: PI] The Indiana Space Grant Consortium (NASA-related funds), “Using Satellite Images and Acoustic Sensors for Improving Public Safety with Deep Learning Models”, Total Award: $15,000. Project Period: May 2024 - April 2025
• [Role: PI] Provost Grant, Purdue University Northwest, “Gunshot Detection for public security”, Total Award: $54,000. Project Period: April 2023 - May 2025
• [Role: PI] Blakemore Family Business Fellowship, “An Online Cybersecurity Course for 100 Family Business Owners: A Proposal” $2,000, Period: October 2021
• [Role: PI] Google (GCP Research Credits), “Aerial Images and Artificial Intelligence for Optimized Soybean Breading”, Total Award: $5,000. Project Period: November 2019 – December 2020. Collaborators: Pengyin Chen (University of Missouri-Columbia)
• [Role: PI] Southeast Missouri State University (Internal), Robust Aerial Image Processing for Soybean Breeding: A Seed Grant, Total Award: $3,795. Project Period: May 2020 – December 2021. Collaborators: Andrew Chronister (SEMO)